Triple
T38158376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Luxemburg’s collected works |
E952949
|
entity |
| Predicate | hasNotableWorkIncluded |
P61425
|
FINISHED |
| Object |
Letters from Prison
Letters from Prison is a collection of personal and political correspondence written by revolutionary socialist Rosa Luxemburg during her various imprisonments, revealing her intellectual depth, emotional resilience, and reflections on war, revolution, and humanism.
|
E2257641
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Letters from Prison | Statement: [Rosa Luxemburg’s collected works, hasNotableWorkIncluded, Letters from Prison]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Letters from Prison Triple: [Rosa Luxemburg’s collected works, hasNotableWorkIncluded, Letters from Prison]
Generated description
Letters from Prison is a collection of personal and political correspondence written by revolutionary socialist Rosa Luxemburg during her various imprisonments, revealing her intellectual depth, emotional resilience, and reflections on war, revolution, and humanism.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a03809f3f6c81909b7fb688753d28f3 |
completed | May 12, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4171397be48190b784c3a8b486ecce |
completed | June 28, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_6a4172b1696c8190b1c0ac5c1c2267af |
completed | June 28, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41732a4d0881908a605d5dd52a3708 |
completed | June 28, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:21 p.m.